Archives

  • International Journal of Advanced AI Applications, Vol.2 No.6, Jun.2026: Special Issue on Practical AI Technologies Across Multidisciplinary Fields
    Vol. 2 No. 6 (2026)

    This June 2026 issue (Vol.2, No.6) of the International Journal of Advanced AI Applications collects five original research papers covering five major research branches including humanistic cross-domain AI, computer engineering, image processing, quantitative finance and industrial robotics. The first paper constructs an AI-assisted shared reading framework for Sino-Japanese classic literature, taking The True Story of Ah Q and I Am a Cat as research objects to innovate digital modes of cross-cultural literary communication via translation comparison. The second develops an intelligent WeChat mini-program for university research reimbursement based on OCR technology, adopting multi-strategy OCR engine scheduling and regular-expression-based data cleansing to realize automatic document sorting. The third targets single-image shadow removal, proposing AAIC adaptive convolution framework and FASR-Net feature aggregation network to improve detail restoration and differentiated regional processing of images. The fourth delivers a comprehensive literature review on multimodal stock prediction, summarizing the evolution of multi-information fusion containing financial text, time-series data, ESG indicators and graph relationships, as well as core challenges and developing trends in this field. The last paper designs a 6-DOF flexible blank-handling robot for ceramic slip casting production lines, with harmonic reducers and vacuum suction cup end-effector adopted; structural simulation and working condition tests verify its practical performance. Focusing on practical industrial and educational demands, all articles present diversified innovative implementation schemes of artificial intelligence ranging from liberal arts digitalization to intelligent manufacturing.

  • Frontiers in Smart Technologies for Sustainable Development
    Vol. 2 No. 1 (2026)

    This special issue showcases the transformative convergence of artificial intelligence, innovative hardware design, and data-driven analytics in addressing critical sustainability challenges across environmental, health, and social domains. The curated collection traverses a remarkable interdisciplinary landscape—from adaptive spiking neural networks on memristive crossbars enabling real-time athlete injury prediction, to deep learning-powered remote sensing fusion revolutionizing wetland ecosystem monitoring. We explore intelligent product design that harmonizes function with form through embedded disinfection systems, analyze the decoupling of carbon emissions from economic growth in emerging energy sectors, and present hybrid frameworks leveraging learning analytics to predict educational technology adoption. Together, these contributions exemplify how smart technologies can forge integrated pathways toward environmental stewardship, public health resilience, and inclusive education, underscoring the pivotal role of cross-disciplinary innovation in building a sustainable future.

  • The Responsible Code: Human-Centered AI for Education, Social Work and Global Networks
    Vol. 1 No. 4 (2025)

    This issue explores AI's transformative potential when guided by ethical principles and human priorities. From safeguarding maritime transportation through ​​human-centric cybersecurity frameworks​​ to reimagining ​​physics pedagogy​​ with interdisciplinary AI tools, these studies demonstrate how technology can amplify human capabilities across sectors. The collection highlights:

    • ​​Dual-path Transformer models​​ that optimize educational equity
    • ​​AI-augmented social work​​ practices balancing opportunity with ethical challenges
    • ​​Polycentric governance frameworks​​ for distributed AI responsibility

    Together, they form a "responsible code" – not just in programming terms, but as a blueprint for developing AI that serves classrooms, communities and global systems with equal care. Whether protecting ships' digital infrastructure or personalizing learning experiences, each paper contributes to the crucial dialogue about building AI that aligns with human values at every scale.

  • Vol. 2 No. 8 (2026): Applied Intelligence Across Domains: Visual Analysis, Robotic Design, and System Optimization
    Vol. 2 No. 8 (2026)

  • Issue on AI-Driven Frontier Technologies and Intelligent Systems Applications
    Vol. 2 No. 3 (2026)

    This issue focuses on innovative applications of artificial intelligence across five diverse domains—image processing, condensed matter physics, macroeconomic forecasting, agricultural robotics, and international trade—featuring five representative interdisciplinary research papers. These works collectively demonstrate the powerful potential of deep learning, transfer learning, and multi-modal fusion in addressing complex scientific and engineering challenges. Performance Comparison of AI Models for Image Shadow Removal: UNet, CGAN, and Swin-Transformer with a Note on Diffusion Models provides a systematic evaluation of multiple deep learning architectures for image restoration tasks. Artificial Intelligence-Driven Discovery of Magnetic Higher-Order Topological Corner States: A Review From Theoretical Framework to Large-Scale Screening explores cutting-edge applications of machine learning in materials discovery within condensed matter physics. Research on Macroeconomic Nonlinear Forecasting Based on DCL-MHA Collaborative Architecture and Residual Gating Mechanism proposes a novel economic forecasting model integrating attention mechanisms with residual learning. Design of a Dynamic Obstacle Avoidance System for Greenhouse Robots Based on the Fusion of YOLOv5 and Ultrasonic Sensing achieves an agricultural automation solution through vision-perception fusion. Sino-European Trade Flow Forecasting and Path Optimization: A GFIITL-DCL-MHA Framework Based on Deep Collaborative Learning and Transfer Learning offers methodological support for intelligent decision-making in cross-border trade. These advances not only push the technical boundaries of their respective fields but also provide important paradigmatic references for the interdisciplinary integration of artificial intelligence.

  • AI-Powered Innovations: Bridging IoT, Education, and Industrial Systems
    Vol. 1 No. 6 (2025)

    This comprehensive issue presents five groundbreaking research articles that demonstrate the transformative power of artificial intelligence across diverse domains. The collection showcases cutting-edge applications of AI technologies in solving complex real-world challenges, from industrial automation to educational enhancement and healthcare analytics.

  • First Light: Pioneering AI Research for Tomorrow's Challenges
    Vol. 1 No. 1 (2025)

    This inaugural issue illuminates the dawn of transformative AI applications across education, healthcare, and engineering. From revolutionizing ​​natural language processing pedagogy​​ in undergraduate institutions to enabling ​​precision breast cancer diagnosis​​ through lightweight neural networks, these studies represent the first rays of AI's potential. The collection bridges fundamental research and practical innovation—whether simulating power converters for smarter energy systems or developing wireless transmission prototypes. Particularly compelling is how AI personalizes ​​English language education​​ through layered teaching models, demonstrating technology's power to address individual learning needs. Together, these papers don't just respond to current challenges; they cast light on future possibilities where AI enhances how we teach, heal, and build.

  • Vol. 2 No. 10 (2026):
    Vol. 2 No. 10 (2026)

  • The Dual-Edged Nature and Technological Innovations of AI Across Domains: HRM, Smart Contract Security, Image Classification, Financial Forecasting, and Experimental Teaching
    Vol. 2 No. 5 (2026)

    This issue focuses on the in-depth implementation and cutting-edge exploration of artificial intelligence technologies across multiple fields, covering five core scenarios: enterprise human resource management, blockchain smart contract security, computer vision, financial time series forecasting, and university experimental teaching reform. It systematically discusses the double-edged sword effects of AI, security detection, image recognition, the evolution of stock index forecasting methods, and the construction of generative AI teaching assistants. By integrating theoretical frameworks, algorithm innovations, empirical research, and practical cases, it provides academic references and practical paths for the standardized application, technological breakthroughs, and industrial empowerment of AI technologies.

  • Wind Power Prediction, Medical Image Segmentation, AI Framework, Branding Impact, and Coaching Transition Analysis
    Vol. 1 No. 8 (2025)

    This issue features 5 cutting-edge research articles:
    • Ultra-short-term wind power prediction using CPO and cross-domain attention.
    • E-UNet-based semantic segmentation for colorectal polyps.
    • A bio-inspired AI framework for human-machine coaching in team decision-making.
    • Exploring AI-quality’s impact on brand perception and consumer loyalty.
    • Coaching transition prediction via dual-encoder temporal-contrastive learning.
    Topics span renewable energy, healthcare, AI methodology, marketing, and behavioral analysis.

  • Symphony of Algorithms: Conducting AI in Education, Agriculture and Healthcare
    Vol. 1 No. 3 (2025)

    This issue presents a harmonious convergence of artificial intelligence across diverse domains—where machine learning orchestrates ​​digital classrooms​​, computer vision nurtures ​​smart farmlands​​, and neural networks fine-tune ​​medical diagnostics​​. Like a masterful symphony, these studies demonstrate how algorithmic "instruments"—from firefly-optimized data preprocessing to hyperspectral image analysis—can create transformative synergies. Whether enhancing music education through digital tools or detecting rib fractures with deep learning, each paper reveals AI's capacity to conduct innovation across the score of human progress.

  • International Journal of Advanced AI Applications, Vol.2, No.7, Jul. 2026: Special Issue on Intelligent Algorithms & Equipment Innovation for Multi-Scenario AI Deployment
    Vol. 2 No. 7 (2026)

    This July 2026 issue (Volume 2, Issue 7) publishes five original research papers covering four major AI application fields: intelligent language teaching, digital psychological counseling, elderly rehabilitation robotics, and intelligent industrial environmental governance. The research integrates cutting-edge technologies including speech deep learning, LLM-RAG, machine vision, spatial-temporal graph neural networks and multi-agent reinforcement learning.
    The first paper adopts fine-tuned wav2vec 2.0 to build an automatic evaluation system for Mandarin sentence stress of second-language learners. Two comparative experiments reveal cognitive gaps between native Chinese speakers and English learners under diverse semantic contexts, supplying quantitative assessment tools and pedagogical strategies for AI-assisted Chinese pronunciation training.
    The second study proposes an intelligent psychological consultation system with dynamic scale embedding and multi-turn dialogue analysis. It combines domain fine-tuning and retrieval-augmented generation (RAG) for collaborative reasoning, realizing non-intrusive mental assessment and automatic personalized intervention plans, with lightweight optimization to cut hardware computing costs.
    Two papers focus on intelligent walking assistive devices for the elderly: one completes the ergonomic 3D structural design, hardware circuit and embedded control system of wearable walking equipment, and verifies structural stability via modal analysis; the other deploys a lightweight stair recognition algorithm based on Canny edge detection and Hough transform on low-power embedded chips, meeting real-time perception demands of rehabilitation robots.
    The final research targets industrial park pollution control, constructing a joint framework of STGCN and MAPPO multi-agent reinforcement learning to mine spatiotemporal pollution evolution patterns. The model realizes cross-enterprise coordinated emission reduction, significantly cutting reagent & power consumption and pollutant over-limit incidents.
    This issue balances theoretical innovation of natural language processing, development of embedded intelligent hardware and industrial big data governance. It addresses practical demands from education, geriatric rehabilitation and environmental protection, showcasing the latest engineering achievements of lightweight AI algorithms, multimodal interaction, intelligent robots and spatiotemporal predictive control.

  • Special Issue on Intelligent Systems and Adaptive Control Technologies
    Vol. 2 No. 2 (2026)

    This issue focuses on the interdisciplinary innovations in artificial intelligence, robotics, and intelligent control, featuring five representative research papers. These works span multiple cutting-edge directions, from in-vehicle dialogue systems and robot path planning to smart contract security detection, collectively embodying the core concepts of intelligence, adaptability, and bio-inspired mechanisms. The paper EchoKG: A Dynamic User Preference Knowledge Graph for In-vehicle Dialogue Systems Based on the Ebbinghaus Forgetting Curve proposes a human-computer interaction framework integrating cognitive science theories. Obstacle Avoidance Path Planning for Robotic Arms Based on an Improved RRT Algorithm presents an efficient solution for motion planning in complex environments. Design of an Adaptive Stair-Climbing Robot Based on Heterogeneous Dual-Core Intelligent Control Technology demonstrates the application of intelligent control in special-purpose robots. Research on Bio-inspired Self-balancing Control Based on LIF Networks explores the potential of brain-inspired computing in control systems. Research on Fine-grained Detection Methods for Honeypot Contracts Based on LSTM and Fuzzing provides an intelligent detection approach for blockchain security. These advances not only propel technological progress in their respective fields but also offer significant references for the integrated applications of intelligent systems.

  • Converging Frontiers: AI at the Nexus of Health, Ethics, and Global Systems
    Vol. 1 No. 5 (2025)

    This issue captures AI’s transformative role where ​​clinical diagnostics​​ meets ​​existential debate​​, and where ​​blockchain logistics​​ intersects with ​​agricultural vision systems​​. Featuring a machine learning framework for multi-disease risk prediction with interpretability analysis, it juxtaposes pragmatic healthcare tools with speculative dialogues on AI’s future impact—inspired by science fiction narratives. Meanwhile, novel neural architectures for electronic systems and blockchain-embedded low-carbon supply chains demonstrate AI’s capacity to optimize both information flows and physical commodities. The inclusion of a YOLOv8-based tea detection system further anchors theoretical advances in tangible applications. Together, these studies map AI’s expanding influence across medicine, philosophy, and industrial ecology, inviting readers to consider: How do we steward technologies that simultaneously diagnose diseases and redefine human purpose?

  • Vol. 2 No. 9 (2026): Bridging the Gap Between Capability and Trust: Clinical Safety, Agent Memory, Knowledge Governance, and the Frontiers of Advanced AI in Legal Practice
    Vol. 2 No. 9 (2026)

    In this issue of the International Journal of Advanced AI Applications, five papers confront a shared challenge: AI capability has outpaced its reliability in high-stakes settings. Dai and Wang open with a content analysis testing AI-generated return-to-sport recommendations after ACL reconstruction against the Bern Consensus—models handle timing, risk–benefit, and safety warnings well, yet nearly miss sport-specific precision and psychological readiness, so AI advice should remain a draft requiring clinical validation. Three surveys from Geely University of China then probe the systems beneath. Deng and Song examine agent long-term memory through capacity, consistency, and control gaps, arguing that memory must be an auditable record, not a performance feature. Yang and Song map the knowledge supply chain of large language models, exposing weak upstream documentation, asymmetric reversibility across injection channels, and unresolved verified deletion. Li and Song bridge benchmarks and the bedside, identifying validation, utility, and governance as translational gaps that sever performance from patient benefit, and call for grading AI by medicine's own evidence hierarchy. The issue closes with Zhang and Song's capability–reliability–accountability survey of LLMs in legal practice, explaining the benchmark-to-courtroom gap and the convergence on inspectable structure. Together, these papers show that the value of advanced AI—in clinics, courtrooms, and beyond—will be set not by benchmark scores, but by how rigorously it is validated, governed, and held accountable.

  • The Multidimensional Evolution of Intelligent Systems: From Sub-Pixel Localization, Topological Matter to Human-Machine Management
    Vol. 2 No. 4 (2026)

    This special issue compiles cutting-edge research from engineering vision, embedded IoT, clinical emergency medicine, computational material science, and HR management. We explore solving sub-pixel laser spot localization via multi-strategy fusion algorithms, present STM32-driven smart disinfection systems for public health, and validate the clinical value of Battlefield Acupuncture in orthopedic emergencies. Furthermore, we delve into surface-state predictions in topological semimetals and analyze the transformative impact of AI on HRM in listed enterprises, aiming to provide theoretical and practical insights for interdisciplinary intelligent applications.

  • AI-Driven Innovations in Cross-Domain Applications: From Logistics and Healthcare to Agriculture and Education
    Vol. 1 No. 7 (2025)

    This issue presents cutting-edge research exploring artificial intelligence's transformative potential across diverse domains. The collection features five groundbreaking studies that demonstrate AI's capacity to address complex challenges through innovative methodological frameworks and practical implementations. The issue opens with Wang's Bayesian Network analysisexamining how trade tensions impact global aviation logistics, providing a probabilistic risk assessment framework for supply chain resilience. The healthcare sector is represented by Li and Zhao's thoracic fracture detection system, which integrates YOLOv12 with BiFPN architecture to achieve remarkable diagnostic accuracy improvements. In agricultural technology, Li and Liu's GoatFaceNetdemonstrates lightweight facial recognition for livestock management, achieving 94.2% accuracy in open-set recognition scenarios despite high inter-animal similarity. The educational dimension is addressed by Liu et al.'s OBE-AI model, which bridges secondary-university physics education gaps through intelligent competency cultivation frameworks. Complementing these applications, Yang et al.'s AttentionHR frameworkleverages Transformer architecture for employee turnover prediction in IT industries, achieving 88.16% accuracy while identifying critical retention factors like salary satisfaction and technological pressure. Collectively, these studies highlight AI's evolving role in solving domain-specific problems through advanced neural architectures, probabilistic modeling, and adaptive learning mechanisms. The issue contributes significantly to both methodological innovation and practical implementation across logistics, healthcare, agriculture, education, and human resource management.

  • Wires to Wisdom: Engineering, Ethics, and Evolution in AI Systems
    Vol. 1 No. 2 (2025)

    This issue explores the multifaceted journey of AI—from the precision of CAN bus motor control to the ethical dilemmas of criminal justice intervention, and from AIGC-powered heritage preservation to bias-mitigated personalized learning. Bridging hardware and humanity, these studies collectively interrogate how intelligent systems evolve when engineering rigor meets ethical reflection. Whether optimizing machine communication or safeguarding cultural memory, each contribution underscores a shared imperative: to weave technical innovation with societal wisdom.